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## README.md

      
              1 file
            
          
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                Airtuew
                / README.md
            
            
              Last active
              July 4, 2026 12:25
            
              
                e-book-login-free
              
          
    教學用電子書免登入腳本

更新日期：GMT+8 2025年10月4日 19:40 
📜 免責聲明


本專案僅限於教育研究用途。
請勿將本腳本作為 抄答案、侵權或其他惡意用途。
使用者需自行承擔所有風險與後果。
作者不對任何因使用本專案所造成的損害負責。

📖 專案簡介

此專案原本是為了研究台灣主要課本/習作出版社的電子書驗證機制，探討其前端身份驗證設計。

  
## config.yaml
# AFF
# 如果你想支持我，可以通过我的邀请链接购买机场
# 感谢支持
# 1. ssLinks 邀请码: fSo2OhzH https://98a6251b6cd7471da86cca993b6dbe6f.36d.biz/#/register?code=fSo2OhzH
# 2. 一元机场 邀请码: r3f1duds https://xn--4gq62f52gdss.top/#/register?code=r3f1duds

# 一定要填我的邀请码，不填我哭给你看😭

# mihomo (Clash Meta) 懒人配置
# 版本 V1.23-251221

## llm-wiki.md

      
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                karpathy
                / llm-wiki.md
            
            
              Created
              April 4, 2026 16:25
            
              
                llm-wiki
              
          
    LLM Wiki

A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

  
## microgpt.py
"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

## SKILL.md

      
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                voluntas
                / SKILL.md
            
            
              Created
              June 28, 2026 01:01
            
              
                skills/apple-container
              
          
    name
    apple-container
  
  
    description
    Apple Silicon Mac で動く軽量 Linux コンテナランタイム `container` の利用者向けリファレンス。`container run`、`container build`、`container image pull/push`、`container machine`、ボリューム・ネットワーク・DNS・設定ファイルなど、日常的なコマンドの使い方を網羅する。`container` コマンドの使い方やトラブルシューティングに関する質問で使用する。
  
  
apple-container（container CLI）

Apple 製の container ツールは、Linux コンテナを 軽量 VM 1 つ = コンテナ 1 個 の方式で Mac 上に起動するランタイム。OCI 互換イメージを使うため Docker / podman で作ったイメージがそのまま動く。リポジトリは apple/container。

このスキルは 利用者向け。ソースコードの修正やビルド方法ではなく、container コマンドを使う側の知識を扱う。


## terminal-setup.md

      
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              59 forks
            
          
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                lltx
                / terminal-setup.md
            
            
              Last active
              July 4, 2026 12:03
            
              
                🚀 现代化终端配置指南 - Ghostty + Zoxide + Yazi + Oh-My-Zsh
              
          
    🚀 现代化终端配置指南


Ghostty + Zoxide + Yazi + Oh-My-Zsh 完整配置

📦 工具列表


Ghostty - 现代化 GPU 加速终端模拟器
Zoxide - 智能目录跳转工具（cd 的智能替代）
Yazi - 快速终端文件管理器
Oh-My-Zsh - Zsh 配置框架


## workbench.colorCustomizations.json
"workbench.colorCustomizations": {
    // Contrast Colors - The contrast colors are typically only set for high contrast themes. If set, they add an additional border around items across the UI to increase the contrast.
    "contrastActiveBorder": "",
    "contrastBorder": "",
    // Base Colors
    "focusBorder": "",
    "foreground": "",
    "widget.shadow": "",
    "selection.background": "",
    "descriptionForeground": "",
	# AFF
	# 如果你想支持我，可以通过我的邀请链接购买机场
	# 感谢支持
	# 1. ssLinks 邀请码: fSo2OhzH https://98a6251b6cd7471da86cca993b6dbe6f.36d.biz/#/register?code=fSo2OhzH
	# 2. 一元机场邀请码: r3f1duds https://xn--4gq62f52gdss.top/#/register?code=r3f1duds

	# 一定要填我的邀请码，不填我哭给你看😭

	# mihomo (Clash Meta) 懒人配置
	# 版本 V1.23-251221
	"""
	The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
	This file is the complete algorithm.
	Everything else is just efficiency.

	@karpathy
	"""

	import os # os.path.exists
	import math # math.log, math.exp
	"workbench.colorCustomizations": {
	// Contrast Colors - The contrast colors are typically only set for high contrast themes. If set, they add an additional border around items across the UI to increase the contrast.
	"contrastActiveBorder": "",
	"contrastBorder": "",
	// Base Colors
	"focusBorder": "",
	"foreground": "",
	"widget.shadow": "",
	"selection.background": "",
	"descriptionForeground": "",